most citedPhysics-Informed Neural Network based inverse framework for time-fractional differential equations for rheology

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physics.flu-dyn2023

Temporal Consistency Loss for Physics-Informed Neural Networks

Sukirt Thakur, Maziar Raissi, Harsa Mitra +1

Physics-informed neural networks (PINNs) have been widely used to solve partial differential equations in a forward and inverse manner using deep neural networks. However, training…